Method for improving acoustic noise attenuation in hand-free devices
Abstract
The present invention relates to a method for improving acoustic noise attenuation, in which the method includes an adaptive control for partial-band echo compensation as well as global-band post-filtering for suppressing residual echo in hand-free devices. This method also uses a level balance as well as controllable frequency-selective echo compensation with partial-band processing. After the frequency-selective echo compensation, the signal is submitted to a post-filtering in another frequency-selective filter using a Wiener-equation adjustment algorithm (Wiener filtering). A single control value (increment vector) is used for controlling both the frequency-selective echo compensation and the other filter. This method can thus be implemented with a very reduced amount of calculations so that it can also be used in simple consumer-directed processors.
Claims
exact text as granted — not AI-modifiedWhat is claimed is:
1. A method for improving acoustic sidetone suppression in hands-free telephones, which comprises:
providing a hands-free telephone with a level discriminator and a Wiener filter defined by a frequency-selective filter having a Wiener setting algorithm;
subjecting an outgoing signal to a frequency-selective echo cancellation process utilizing subband processing;
after the echo cancellation process, post filtering the outgoing signal in the wiener filter; and
using a single controlled variable step-size vector {overscore (α)}(k) both to control the frequency-selective echo cancellation process and to control the Wiener filter.
2. The method according to claim 1 , which comprises using, a plurality of different sampling rates.
3. The method according to claim 2 , which comprises:
performing the echo-cancellation process with adaptive filters; and
providing the Wiener filter with adaptive filters.
4. The method according to claim 1 , which comprises:
performing the echo-cancellation process with adaptive filters; and
providing the Wiener filter with adaptive filters.
5. The method according to claim 1 , which comprises performing the echo-cancellation process with a filter bank in frequency subbands.
6. The method according to claim 1 , which comprises using power-based estimates and correlation-based analyses to control both an adaptation and a step size.
7. The method according to claim 1 , which comprises estimating power transmission factors in subbands in order to determine a step size.
8. The method according to claim 1 , wherein:
the echo-cancellation process supplies an estimated value for a return loss introduced by the echo-cancellation process; and
the Wiener filter supplies an estimated value for a return loss introduced by the Wiener filter.
9. The method according to claim 8 , which comprises using the estimated value from the echo-cancellation process and the estimated value from the Wiener filter to control an attenuation of the level discriminator.
10. The method according to claim 1 , which comprises simultaneously detecting activity of both participants in a call.
11. The method according to claim 10 , which comprises, in duplex communication, reducing an overall attenuation of the level discriminator.Cited by (0)
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